{"id":"thermal-mcp-server","name":"thermal-mcp-server","af_score":58.5,"security_score":31.5,"reliability_score":28.8,"what_it_does":"thermal-mcp-server is a Python-based MCP server exposing a physics/engineering model for liquid-cooled GPU thermal behavior. It estimates junction temperatures and hydraulic pressure drops, and can search for minimum coolant flow rates for a target junction temperature and compute rack-level thermal requirements for uniform GPU assumptions.","best_when":"You need engineering-first, explainable estimates for steady-state liquid cooling sizing and want an AI agent to call structured tools with validated test coverage.","avoid_when":"You need precise plant-level pump/CDU sizing including manifold losses, transient effects, or flow distribution details without adding those effects elsewhere.","last_evaluated":"2026-04-04T21:42:11.952918+00:00","has_mcp":true,"has_api":false,"auth_methods":["None mentioned (local MCP server launched by host process)"],"has_free_tier":false,"known_gotchas":["Cold-plate-only pressure drop: agents may incorrectly treat ΔP as full system CDU pump spec unless the user is reminded about manifold/header losses (20–50% adder).","B200/Gaudi 3 inputs rely on engineering estimates where vendor cold-plate geometry or R_jc is not published; results should be treated as indicative.","Steady-state only: agents may not model transient behavior or temperature ramps.","Uniform flow assumed across cold plates in rack parallel topology; real flow maldistribution may differ."],"error_quality":0.0}